Compare Microsoft Parallel Data Warehouse vs. Teradata

Microsoft Parallel Data Warehouse is ranked 7th in Data Warehouse with 10 reviews while Teradata is ranked 1st in Data Warehouse with 12 reviews. Microsoft Parallel Data Warehouse is rated 7.0, while Teradata is rated 8.0. The top reviewer of Microsoft Parallel Data Warehouse writes "It's well-priced, extremely stable and the technical support is very good". On the other hand, the top reviewer of Teradata writes "Cuts time to process huge amounts of data with efficient analytical queries". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata, whereas Teradata is most compared with SQL Server, Oracle Exadata and Amazon Redshift. See our Microsoft Parallel Data Warehouse vs. Teradata report.
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Most Helpful Review
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Teradata and other solutions. Updated: January 2020.
390,245 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it.The most valuable feature is the business intelligence (BI) part of it.The data transmissions between the data models is the most valuable feature.The most valuable feature of this solution is performance.One of the most important features is the ease of using MS SQL.The most valuable feature for me is querying.The most valuable features are the performance and usability.I am very satisfied with the customer service/technical support.

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It is a stable program.The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.

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Cons
If the database is large with a lot of columns then it is difficult to clean the data.This solution would be improved with an option for in-memory data analysis.The reporting for certain types of data needs to be improved.I think that the error messages need to be made more specific.I would like to see better visualization features.More tools to help designers should be included.In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating.It needs more compatibility with common BI tools.

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An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.

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Pricing and Cost Advice
I think the program is well-priced compared to the other offerings that are out in the market.

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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.

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Ranking
7th
out of 30 in Data Warehouse
Views
2,865
Comparisons
2,093
Reviews
10
Average Words per Review
359
Avg. Rating
7.0
1st
out of 30 in Data Warehouse
Views
21,001
Comparisons
15,985
Reviews
12
Average Words per Review
213
Avg. Rating
8.1
Top Comparisons
Compared 21% of the time.
Compared 18% of the time.
Compared 12% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Microsoft
Teradata
Overview

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

Offer
Learn more about Microsoft Parallel Data Warehouse
Learn more about Teradata
Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropeNetflix
Top Industries
REVIEWERS
Software R&D Company30%
Manufacturing Company10%
Insurance Company10%
Hospitality Company10%
REVIEWERS
Comms Service Provider43%
Manufacturing Company14%
Logistics Company14%
Financial Services Firm14%
VISITORS READING REVIEWS
Software R&D Company39%
Financial Services Firm14%
Comms Service Provider8%
Media Company8%
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Teradata and other solutions. Updated: January 2020.
390,245 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.